Natural resonance frequency identification for remote sensing and biomedical engineering using Prony method and fuzzy logic
The Egyptian Journal of Remote Sensing and Space Science • 2019
Publication Information
Authors
Osama A Elsayed, Abdallah Hammad, Eman A Abdel-Ghaffar
Keywords
EEG signals
Journal
The Egyptian Journal of Remote Sensing and Space Science
Publisher
Not Available
Volume
Not Available
Issue
Not Available
Pages
Not Available
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
Prony method is applied to classify both the remote sensing and the biomedical signals. The first example presented from remote sensing is the sea wave classification while the second example depicted from biomedical engineering field is the Epilepsy seizure type classification. Feature extractions of both the Global navigation satellite systems (GNSS) signal and the epilepsy seizure from a human Electroencephalograph (EEG) signal are based on the poles location of the signal.
Staff Members - Benha University